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        Note that additional data was saved in multiqc_data when this report was generated.

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        If you use plots from MultiQC in a publication or presentation, please cite:

        MultiQC: Summarize analysis results for multiple tools and samples in a single report
        Philip Ewels, Måns Magnusson, Sverker Lundin and Max Käller
        Bioinformatics (2016)
        doi: 10.1093/bioinformatics/btw354
        PMID: 27312411

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        Tool Citations

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        About MultiQC

        This report was generated using MultiQC, version 1.21

        You can see a YouTube video describing how to use MultiQC reports here: https://youtu.be/qPbIlO_KWN0

        For more information about MultiQC, including other videos and extensive documentation, please visit http://multiqc.info

        You can report bugs, suggest improvements and find the source code for MultiQC on GitHub: https://github.com/MultiQC/MultiQC

        MultiQC is published in Bioinformatics:

        MultiQC: Summarize analysis results for multiple tools and samples in a single report
        Philip Ewels, Måns Magnusson, Sverker Lundin and Max Käller
        Bioinformatics (2016)
        doi: 10.1093/bioinformatics/btw354
        PMID: 27312411

        A modular tool to aggregate results from bioinformatics analyses across many samples into a single report.

        Report generated on 2024-09-20, 20:49 UTC based on data in: /home/sequser/amrnanopro/work/1e/b3e516dfaeaf198a5c218b3144e717

        amrnanopro Software Versions

        are collected at run time from the software output.

        Process Name Software Version
        CHOPPER chopper 0.2.0
        CUSTOM_DUMPSOFTWAREVERSIONS python 3.11.7
        yaml 5.4.1
        NANOPLOT_AFTER_CHOPPER nanoplot 1.41.6
        NANOPLOT_BEFORE_CHOPPER nanoplot 1.41.6
        Workflow Nextflow 23.04.4
        amrnanopro 1.0dev

        NanoStat

        NanoStat reports various statistics from a long read sequencing dataset in FASTQ, BAM or sequencing summary format.DOI: 10.1093/bioinformatics/bty149.

        Summary Statistics

        Showing 2/2 rows and 5/7 columns.
        Sample NameMedian lengthRead N50Median Qual# Reads (K)Total Bases (Mb)
        after_chopperNanoStats
        1079bp
        6184bp
        15.4
        15.3K
        39.4Mb
        before_chopperNanoStats
        1062bp
        6204bp
        15.3
        15.7K
        40.1Mb

        Reads by quality

        Read counts categorised by read quality (Phred score).

        Sequencing machines assign each generated read a quality score using the Phred scale. The phred score represents the liklelyhood that a given read contains errors. High quality reads have a high score.

        Created with MultiQC

        MultiQC v1.21 - Written by Phil Ewels, available on GitHub.

        This report uses HighCharts, jQuery, jQuery UI, Bootstrap, FileSaver.js and clipboard.js.